Evidence map›Paper›PMID 35056772›Full record

ArticleMolecules (Basel, Switzerland)2022

Replicates Number for Drug Stability Testing during Bioanalytical Method Validation-An Experimental and Retrospective Approach.

Elżbieta Gniazdowska, Wojciech Goch, Joanna Giebułtowicz, Piotr J Rudzki

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Elżbieta GniazdowskaŁukasiewicz Research Network, Industrial Chemistry Institute, 8 Rydygiera, 01-793 Warsaw, Poland.ORCID 0000-0002-6361-8428
Wojciech GochDepartment of Physical Chemistry, Faculty of Pharmacy, Medical University of Warsaw, 1 Banacha, 02-097 Warsaw, Poland.
Joanna GiebułtowiczDepartment of Bioanalysis and Drugs Analysis, Faculty of Pharmacy, Medical University of Warsaw, 1 Banacha, 02-097 Warsaw, Poland.ORCID 0000-0002-2567-4453
Piotr J RudzkiCelon Pharma S.A., Bioanalytical Laboratory, 15 Marymoncka, 05-152 Kazuń Nowy, Poland.ORCID 0000-0002-4622-4849

Funding

European Regional Development Fund POIG.01.03.01-14-032/12European Regional Development Fund UDA-POIG.01.03.01-14-062/09Ministry of Science and Higher Education DWD/3/6/2019, 21.11.2019National Centre for Research and Development INNOTECH-K1/IN1/14/159003/NCBR/12National Centre for Research and Development ; INNOTECH-K2/IN2/65/182982/NCBR/13National Centre for Research and Development PBS1/B7/7/2012
6 · The paper itself

Abstract

backgroundThe stability of a drug or metabolites in biological matrices is an essential part of bioanalytical method validation, but the justification of its sample size (replicates number) is insufficient. The international guidelines differ in recommended sample size to study stability from no recommendation to at least three quality control samples. Testing of three samples may lead to results biased by a single outlier. We aimed to evaluate the optimal sample size for stability testing based on 90% confidence intervals.

methodsWe conducted the experimental, retrospective (264 confidence intervals for the stability of nine drugs during regulatory bioanalytical method validation), and theoretical (mathematical) studies. We generated experimental stability data (40 confidence intervals) for two analytes-tramadol and its major metabolite (O-desmethyl-tramadol)-in two concentrations, two storage conditions, and in five sample sizes (

resultsThe 90% confidence intervals were wider for low than for high concentrations in 18 out of 20 cases. For

conclusionsFive repetitions are optimal for the assessment of analyte stability. We hope to initiate discussion and stimulate further research on the sample size for stability testing.

Indexed as

Drug StabilityAnalysis of VarianceChromatography, LiquidDrug MonitoringHumansMass SpectrometryModels, TheoreticalQuality ControlRetrospective StudiesTechnology, Pharmaceuticalbioanalytical method validationconfidence intervalregulatory bioanalysisretrospective analysissample sizestability

Identifiers

PMID35056772
PMCPMC8779260

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